Jobs

🌍 Job Title:

Senior Full-Stack Research Engineer

🧩 Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

🌟 About the Product:

This platform provides an AI-driven intelligence layer for real estate underwriting, focusing on short-term bridge financing. It ingests diverse public and user-submitted property data—ranging from financial documents and renovation plans to market listings—and applies OCR, classification, schema extraction, and large language models to deliver comparable asset analysis and risk scoring. 

💻 About the Role:

As a Senior Full-Stack Research Engineer on our AI research team, you will drive end-to-end development from hypothesis and prototyping to production deployment. You will design, build, and optimize critical pipelines that extract, classify, and reason over complex financial and property documents using frameworks such as DSPy and LangGraph. You will implement and maintain FastAPI services and TypeScript integrations, ensuring system resilience, observability, and scalable data aggregation. 

📌 Key Responsibilities:

• Optimize AI flow pipelines (OCR → classify → extract) using LangGraph and DSPy to reduce error rates and latency on financial and property documents.
• Orchestrate fault-tolerant, agentic workflows that connect document classification, OCR, and schema extraction modules into cohesive state machines.
• Conduct gap analyses with custom evaluation suites, measure precision and recall, and implement prompt/evaluation loop improvements and multi-step reasoning strategies.
• Prototype LLM-based models in Jupyter Notebooks and productionize them via FastAPI endpoints and TypeScript client integrations.
• Build and scale data aggregation systems, normalize heterogeneous schemas, and resolve conflicts across external real estate datasets.
• Implement robust caching, retry logic, and observability (tracing, structured logging) to maintain resilience against service outages.
• Translate research prototypes into tested, containerized services and integrate them into CI/CD pipelines.
• Collaborate on defining the architecture and establish a standard research-to-release playbook for upcoming AI initiatives.

📝 Required Competence and Skills:

• 5+ years as a backend developer, with recent experience driving end-to-end AI research and applying LLMs for verification (prompt/evaluation loops) and broader problem solving.
• Experience working on AI-centric products, contributing to both backend development and the integration of AI as a core component of the system.
• Proficiency in Python or Node.js.
• Understanding of LLM orchestration tools (e.g., LangGraph), prompt optimization frameworks (e.g., DSPy), vector retrieval systems (e.g., Weaviate, Elasticsearch), and multi-model integrations (OpenAI, Gemini, vLLM).
• Strong skills in Docker, container orchestration, message queues, CI/CD, and observability practices.
• Demonstrated ability to design complex data schemas and perform multi-source data fusion.
• Comfortable using Jupyter Notebooks for rapid experimentation, benchmarking, and metric-driven prototyping.
• Experience with document pipelines, including OCR, parsing, classification, and handling noisy real-world inputs.

➕ Nice to Have:

• TypeScript in strict mode with Zod schema validation.
• Graph database modeling experience with Neo4j.

🚀 Why Us:

We provide 20 days of vacation leave per calendar year (plus official national holidays of a country you are based in).

We provide full accounting and legal support in all countries we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

COMPANY

Arcyn is a freshly funded seed stage startup. We’re creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations as they're being created. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what's wrong.

We’ve just closed pre-seed round and are building core technical team. We’re now a team of 4 with a track record of building complex technical products, and we're looking for a strong AI engineer who's comfortable testing hypotheses and working across different frameworks. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.

----

In this role, you'll architect AI systems from scratch and own the full development cycle, there's plenty of room for experimentation and rapid iteration. We're seeking a highly skilled AI Engineer with strong experience in orchestrating multi-step LLM workflows, automated code generation, and compliance logic formalization.

RESPONSIBILITIES: 
• Design and maintain modular, multi-step AI workflows for compliance automation. 
• Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline. 
• Build cost-optimized batch processing and intelligent API request strategies. 
• Translate complex regulations into structured, machine-executable logic. 
• Develop and validate automatically generated code to ensure correctness, safety, and performance. 
• Collaborate with domain experts to refine logic interpretation and edge case handling. 

• Maintain high-quality, well-structured Python codebases with clear separation of concerns. 

REQUIREMENTS  
• 5+ years of professional software engineering experience. 
• Strong Python skills, including experience writing production-grade, modular code. 
• Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar). 
• Experience in structured code generation and validation. 
• Strong debugging skills and comfort working with complex, evolving systems. 

   NICE TO HAVEs: 
   • Experience with compliance automation, technical regulations, or domain-specific rule translation. 
   • Familiarity with Pydantic models or other type-safe data management frameworks. 
   • Background in developer tooling or systems requiring high reliability and reproducibility. 
   • Experience optimizing LLM API usage for both cost and speed. 

WE OFFER:

• B2B set-up via SP account
• Full-time remote role aligned with EEST
• Be part of the team shaping a new AI product at an early stage. 
• Freedom to architect solutions using the best tools for the job. 
• Collaboration with a multidisciplinary, innovation-driven team. 
• Flexible work arrangements and competitive compensation.

Remote / Europe
Long-term Project Environment

For a large-scale software project, we are looking for experienced Backend Developers (Senior level only) to strengthen an engineering team.
 

We are rebuilding an existing and successful platform from the ground up. This is a greenfield project with real business context: the existing system is in productive use, and we are redesigning it with a modern architecture and a clear technical direction.

This is not maintenance. This is a structured, high-speed rebuild with long-term perspective.
 

Project Context

We have acquired a company with an established and successful platform.
 

To scale and extend this system, we are:

• rebuilding the platform from scratch
• standardizing the backend on Laravel
• redesigning the architecture into multiple services connected via APIs
• using the existing system and codebase as a reference for business logic and processes

The goal is a clean, modern and scalable architecture, built efficiently without losing the proven domain knowledge.

The Role

You will work on the backend of this new platform and contribute to:

• understanding existing business processes
• translating them into a clean, modern system design
• implementing backend services using Laravel

You will not work in isolation.

The project is guided by a Tech Lead with deep knowledge of the existing system, supported by a team including UX, Product Owner and Architecture.
 

Responsibilities

• Development of backend services using Laravel
• Design and implementation of REST APIs
• Translation of existing business logic into a modern architecture
• Contribution to a service-based system design
• Implementation of complex workflows and domain logic
• Optimization of database structure and performance (MySQL)
• Integration of multiple services into a consistent platform
• Ensuring code quality, stability and maintainability
• Delivery of production-ready systems

Requirements

• Several years of experience in backend development
• Strong experience with PHP and Laravel
• Experience building and structuring REST APIs
• Ability to work with complex business processes
• Solid understanding of OOP, SOLID principles and design patterns
• Strong SQL knowledge (MySQL)
• Experience with service-oriented or distributed systems
• Experience with Docker or similar environments
• Ability to work independently and deliver results quickly
• Strong focus on clean architecture and code quality

Important

• This role is Senior only – no onboarding into fundamentals
• You are expected to contribute productively from the beginning
• The project requires both speed and quality
• Architectural direction is defined, but requires active contribution and refinement
• We are looking for professionals who focus on delivery, not personal preferences
   

What We Expect

• Ability to understand and model real business processes
• Structured and pragmatic approach to rebuilding systems
• Ability to work within a defined architecture while improving it
• Focus on clean and scalable solutions
• Reliable execution in a team environment
• Clear communication and ownership

What We Offer

• Work on a greenfield rebuild of an existing successful platform
• Collaboration with experienced Tech Lead
• Clear technical direction (Laravel-based architecture)
• Long-term project with ongoing development perspective
• After the initial rebuild, the platform will be continuously developed further
• Remote work
• Stable environment with clear expectations
   

Language

We welcome applications from developers worldwide. Ukrainian language skills are considered a strong plus, alongside fluency in English.

We are looking for a hands-on NetSuite Administrator / Consultant to support and expand enterprise ERP capabilities. In this role, you will configure and optimize NetSuite for complex business processes, work closely with corporate clients, and translate operational needs into scalable system solutions.

Responsibilities

• Administer and configure NetSuite: roles, permissions, workflows, saved searches, dashboards
• Support business processes across inventory, supply chain, order-to-cash, and sales cycles
• Work directly with clients: gather requirements, map processes, propose system improvements
• Implement integrations and manage data: CSV imports, RESTlets, SuiteTalk, data migrations, reporting
• Extend the platform using SuiteScript (JavaScript) and SuiteFlow for automation and customizations
• Own production releases: testing, documentation, monitoring, and post-release support

Requirements

• 3+ years of hands-on NetSuite administration experience in enterprise environments
• Strong knowledge of SuiteScript, SuiteFlow, saved searches, and reporting
• Experience with integrations and data management
• Client-facing experience and ability to translate business requirements into system solutions
• Understanding of inventory, order management, and supply chain processes
• English — Upper-Intermediate+

Nice to Have

• Experience in Retail or Fashion environments
• Background in NetSuite development, analytics, or building data pipelines around ERP systems
• Familiarity with SuiteAnalytics, SuiteBundler, or third-party integration tools

What success looks like

You will deliver reliable and well-documented NetSuite configurations and integrations that streamline client operations, reduce manual work, and enable scalable business processes.

On behalf of our Client from Israel, Mobilunity is looking for a Senior Full-Stack Engineer on full-time engagement.

Our Client is developing a SaaS platform that evaluates how brands perform across LLMs and provides actionable insights to improve visibility and performance.

The system includes:
A user-facing SaaS platform (customer dashboard, insights, reporting) A data processing backend that interacts with multiple LLMs to generate analysis

Currently:
- Platform is live with ~20 paying customers
- Initial MVP was built quickly using a “vibe coding” approach → now undergoing restructuring and productionization
- Moving toward a more scalable, clean architecture with APIs and separated systems
- Future plans include expanding into automated implementation of recommendations

About the Team:

Looking for experienced proactive person who can take on tech leadership from current R&D developer and tackle next challenges:

• Existing codebase is messy and requires refactoring/re-architecture.
• Need to stabilize and scale a working but early-stage system.
• Managing two separate systems (frontend app + LLM data engine).
• Increasing need for complex integrations (LLMs, analytics tools, CRMs, enterprise systems).
• Lack of strong internal technical leadership to define roadmap and best practices.

Key Responsibilities:

• Own and improve overall system architecture (frontend, backend, data/LLM systems).
• Refactor and scale existing MVP into production-grade system.
• Hands-on full-stack development.
• Lead LLM integrations (APIs, prompting, orchestration).
• Build and maintain integrations (payment, CRM, analytics, erp, custom APIs).
• Work closely with founders on product and technical roadmap.
• Participate in hiring and mentoring future engineers.

Required Skills and Experience:

• 5+ years in full-stack development building and scaling SaaS products.
• Background in early-stage/startup environments refactoring or rebuilding MVP systems.
• Background working with data/AI-driven products.
• Strong full-stack skills (React/Vue + Node.js/Python or similar).
• Solid understanding of system architecture and scalability.
• Experience with API design and system integrations.
• Hands-on experience with LLM/AI integrations: OpenAI, Gemini, or similar APIs. Prompting and workflow design.

Nice-to-Have skills:

• Experience with domains related to SEO / eCommerce / marketing tech.
• Experience with enterprise integrations (Salesforce, ERP, etc.).
• Experience connecting 3d-party APIs & tools.

In return we offer:

• The friendliest community of like-minded IT-people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program designed to attend our teams’ needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city-center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

We are looking for an experienced Automation Engineer who enjoys building reliable, well-designed industrial solutions and wants to have a real impact on projects and technical decisions.

You will work with modern automation technologies, industrial systems, and SCADA platforms. The focus is on creating stable, scalable, and user-friendly solutions that are easy to maintain over time.

This is a small, highly skilled team where your contribution matters and your voice is heard.

 Responsibilities:

• Develop SCADA solutions (primarily using Ignition)
• Program PLCs and control systems
• Integrate industrial systems with IT platforms
• Design system architecture and technical solutions
• Participate in commissioning and troubleshooting
• Communicate with clients on technical topics and solutions

Tech stack:

• Ignition SCADA
• Beckhoff TwinCAT
• CODESYS
• PCSCHEMATIC (for electrical/system design)

Requirements:

• Solid experience in automation or industrial software
• Understanding of both OT and IT architecture
• Ability to write clean, structured, and reliable code
• Strong problem-solving mindset
• Comfortable communicating technical solutions
• Ability to take ownership of tasks and projects

Nice to have:

• Experience with system integration projects
• Hands-on experience with commissioning
• Background in industrial environments

What you get:

• High level of technical freedom and ownership
• Small, expert-driven team
• Work with modern technologies and real-world systems
• Competitive compensation package
• Performance-based bonus
• Opportunity to influence technical decisions and processes

We are looking for an Integration Team Lead to own the architecture and reliability of our advertising platform integrations while leading a small engineering team and driving the integration roadmap. In this role, you will design and scale data pipelines that process large volumes of advertising data, ensure stable data synchronization across external marketing platforms, and lead new integration initiatives from API evaluation to production rollout. You will play a key role in shaping the platform’s integration strategy, mentoring engineers, and building scalable, AI-enabled integration solutions that power our core data infrastructure.

Requirements
- 5+ years in backend/data engineering, including 2+ years working with advertising/marketing APIs.
- Hands-on experience with Meta Marketing API and/or LinkedIn Marketing API: real work with rate limits, async reports, breakdowns, attribution windows.
- Strong Python skills: production-grade code with error handling, logging, and tests.
- Experience leading a team (2+ people): code reviews, task planning, growing engineers.
- Solid understanding of data pipeline patterns: idempotency, backfill, incremental sync, schema evolution.
- Experience with GCP or comparable cloud (AWS/Azure) at the service design level.

- Actively use AI-assisted development tools (e.g., Copilot, Cursor, Claude Code) in daily engineering workflows for code generation, debugging, documentation, and data pipeline design, applying sound engineering judgment when validating AI-generated outputs.

Nice to Have
- Knowledge of the Programmatic ecosystem: DV360, The Trade Desk, OpenRTB.
- Experience with BigQuery and/or ClickHouse.
- Pulumi / Terraform for IaC.
- Understanding of advertising metrics: impressions, clicks, conversions, ROAS, attribution models.

Responsibilities
- Own the architecture and evolution of all platform integrations: Meta Marketing API, LinkedIn Marketing API, Programmatic channels (DV360, The Trade Desk, etc.).
- Lead a team of 2-4 engineers: code reviews, sprint planning, mentorship.
- Design and maintain data pipelines: Ad Platform APIs to BigQuery/ClickHouse via Cloud Run Jobs and n8n workflows.
- Ensure data sync reliability: monitoring, alerting, error handling, retry strategies.
- Work with API rate limits, OAuth flows, and webhooks across advertising platforms - Drive new integration projects from API evaluation through production rollout. 
- Collaborate with the product team to prioritize the integration roadmap.

What We Offer

- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on the quality assurance strategy across the entire engineering department.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

It is a high-growth SaaS company selling IT Service Management, a space that is being propelled into high growth as businesses worldwide accelerate their digital transformation and start to adopt new workstyles for their employees.

We have over 4,000 customers in 140 countries. We are deployed in 42 different languages and used daily by over 100,000 system administrators. Our software impacts the daily working lives of over 9 million end users.

About the role:
We’re looking for an experienced Full-Stack Developer to join our mission. If you’re passionate about building impactful products, love working with cutting-edge AI technologies, and want to help push the boundaries of what’s possible.

What You’ll Do:

• Develop AI capabilities in the backend using Node.js, build and maintain robust API and connectivity infrastructure, while creating advanced React-based applications as part of global SaaS platforms.
• Take ownership of both backend and frontend features, with a strong emphasis on backend excellence
• Upgrade and enhance existing code, implementing the latest standards and technologies
• Work with TypeScript, and modern development tools (Webpack, Vite, Jest)
• Collaborate within an Agile team, contributing to technical decisions and shaping the user experience
• Ensure system performance, code quality, and ongoing maintenance
   

What We’re Looking For:

• 4 years of experience in web development, primarily backend, with full-stack capabilities
• Strong hands-on experience in Node.js
• Experience with React and frontend development
• Familiarity with CI/CD processes and DevOps tools, an advantage
• Creative thinker, problem solver, and a strong team player
• Team player with creative thinking and strong problem-solving skills
   

Bonus Point:

Experienced in designing and deploying vector databases for semantic search, as well as developing AI-driven applications leveraging RAG techniques.

What we offer:

• 20 working days’ vacation; 
• 10 paid sick leaves;
• public holidays;
• equipment;
• accountant helps with documents;
• many cool team activities.

In a partnership with a global consulting company we are looking for a skilled Scala Engineer to join our team and help build high-performance, scalable backend systems. You’ll be working with a modern functional stack to solve complex data challenges and optimize our distributed architecture. The client is a British multinational enterprise software company.

The Tech Stack:

• Language: Scala 2.13
• Framework: Play Framework (Pekko-based)
• Data: MySQL, Redis
• Infrastructure: AWS Services
• Monitoring: Grafana, Kibana

Core Responsibilities:

• Design and maintain robust backend services using Scala and the Pekko-based Play Framework.
• Write clean, testable code emphasizing immutability and functional programming principles.
• Optimize database performance through SQL profiling, indexing, and query refinement.
• Manage and deploy cloud-native applications within the AWS ecosystem.
• Collaborate through a structured CI/CD pipeline and Git-based PR workflow.

Technical Requirements:

• Scala Mastery: Deep knowledge of the Scala standard library, specifically collections, Futures for concurrency, and pattern matching.
• Database Expertise: Strong proficiency in SQL. You should be comfortable explaining execution plans and optimizing slow queries.
• Cloud Proficiency: Hands-on experience with core AWS services (e.g., EC2, RDS, S3, or Lambda).
• DevOps Mindset: Solid understanding of version control (Git) and automated deployment flows.

Nice to Have:

• Experience with functional persistence libraries like Doobie or Squeryl.
• Familiarity with observability tools; specifically building Grafana/Kibana dashboards and configuring alerts.
• Direct experience with horizontal scaling and managing state in large-scale distributed Pekko systems.
  
  ASAP position

N-iX is looking for a Lead Machine Learning Engineer (Computer Vision) to join our external expert network.
 

We are looking for a Lead-level ML expert who will support our hiring process by conducting technical interviews and evaluating candidates according to our internal competency matrix.

This is not a full-time project role, but a flexible collaboration where you will participate in technical interviews when needed.

We are looking for a Lead-level ML expert who will support our hiring process by conducting technical interviews and evaluating candidates according to our internal competency matrix.

This is not a full-time project role, but a flexible collaboration where you will participate in technical interviews when needed.

Responsibilities

• Conduct technical interviews for ML / Computer Vision candidates
• Evaluate candidates according to competency matrix
• Assess both practical experience and theoretical knowledge
• Provide clear and structured feedback after interviews
• Validate real-world experience in building and deploying ML solutions

 Requirements

• 6+ years of experience in Machine Learning / Computer Vision
• Experience taking ownership of technical solutions (design, decision-making, mentoring or leading initiatives)
• Strong hands-on engineering background
• Experience working with production ML systems
• Upper-Intermediate English or higher
  Strong hands-on experience with PyTorch or TensorFlow
• Solid understanding of end-to-end ML lifecycle
  Experience with model deployment and inference optimization
• Experience with experiment tracking tools
  (MLflow, Weights & Biases, DVC or similar)
• Understanding of distributed training concepts

 Nice to have

• Experience with model optimization tools (ONNX, TensorRT, OpenVINO, etc.)
• Experience with cloud platforms (AWS, GCP, Azure)
• Experience mentoring engineers or conducting interviews

Remote / Europe
Long-term Project Environment

We welcome applications from developers worldwide. Ukrainian language skills are considered a strong plus, alongside fluency in English.

For a large-scale software project, we are looking for experienced Angular Developers (Senior level only) to strengthen an existing engineering team.
This is not an entry-level position. We are specifically looking for professionals who can contribute immediately, work independently and deliver high-quality results from day one.
The project is long-term and designed for continuity. A long-term engagement or permanent position is possible.

The Role
You will work on the frontend of a complex application within a structured engineering environment. Industry: HR platform ERP, CRM, ATS, etc...
The focus is on reliable delivery, clean implementation and consistent architecture. The project already follows defined technical standards and development principles.
This role requires engineers who are comfortable working within an existing system and contributing effectively without extensive onboarding.

Responsibilities
Development of frontend components using Angular
Implementation of features based on defined architecture and standards
Integration with REST APIs
Ensuring code quality, performance and maintainability
Consistent use of an existing component library / design system
Collaboration within a structured development team
Delivery of reliable and production-ready code

Requirements
Several years of experience in frontend development
Strong and proven experience with Angular
Experience working with structured frontend architectures
Solid understanding of TypeScript, HTML and CSS
Experience integrating REST APIs
Ability to work independently and deliver results quickly
Strong focus on code quality and consistency

Important
This role is Senior only – no training or onboarding into Angular basics
You are expected to contribute productively from the beginning
Work must follow existing structures – especially:
consistent use of the defined UI/component library
no custom solutions outside established patterns without alignment
We are looking for professionals who prioritize delivery and quality over personal preferences

What We Expect
Professional and solution-oriented mindset
Ability to work efficiently in an existing team setup
Focus on getting things done at a high quality level
Respect for shared standards and technical decisions
Clear communication and reliable execution

Evoplay is a Ukrainian product IT company that complete B2B solutions for the online gaming industry.

Position Overview:

As a Jira and Confluence Administrator, you will be responsible for the administration, configuration, and maintenance of our Jira and Confluence instances. You will play a critical role in ensuring the smooth operation and optimal utilization of these platforms to support our teams in project management, collaboration, and knowledge sharing.

Key Responsibilities:

1. Platform Administration:

• Administer Jira and Confluence instances, including user management, permissions configuration, and customization of workflows, issue types, and fields. Jira (server and cloud), сonfluence, Bitbucket, Crowd)

• Perform regular maintenance tasks such as upgrades, patches, and backups to ensure system reliability and performance.

2. Configuration and Customization:

• Configure Jira projects and Confluence spaces to meet the specific requirements of our teams and projects.

• Customize Jira workflows, screens, and dashboards to streamline processes and enhance productivity.

3. Integration and Automation:

• Integrate Jira and Confluence with other tools and systems used within the organization to facilitate seamless data flow and collaboration.

• Implement automation rules and workflows using Jira and Confluence plugins to optimize task management and documentation processes.

4. User Training and Support:

• Provide training and support to users on Jira and Confluence functionality, best practices, and troubleshooting techniques.

• Serve as the primary point of contact for user inquiries and technical issues related to Jira and Confluence usage.

5. Corporate IT Services:

• Administer other corporate IT services such as Gitlab, LDAP, GCP.

• Ensure the proper functioning and integration of these services with other business applications and systems.

Qualifications:

• Experience in a similar position for 2 years.

• Experience with Atlassian stack:

- Jira

- Confluence

- Bitbucket

- Crowd

• Understanding of the functioning of Linux systems.

We offer:

• L&D center with courses for employees and top managers;

• Rotation program;

• Medical іnsurance;

• Paid leave;

• Sick days;

• Self-learning library, access to paid courses;

• Stable payments;

• Evoplay discount program;

• Flexible work schedule / remote work;

• Group discussions and individual sessions with a psychologist.

As a Senior Game Designer, you will own the full game lifecycle — from concept and mathematical foundation to final polish and post-launch improvements.

You will define mechanics, progression systems, volatility logic, gamification layers, and meta-structures that directly impact retention, engagement, and product economics.

This role combines creative vision, mathematical thinking, structured documentation, and strong cross-team leadership.

Responsibilities

• Design and develop casino game concepts (Slots, Crash, Fast Games) aligned with product strategy
• Define core mechanics, progression systems, RTP/volatility logic, and reward structures
• Prepare and maintain structured GDD (math logic, UX flows, feature specs)
• Collaborate with mathematicians on simulations, balancing, and probability models
• Lead visual direction together with the art team (vision, feedback, approvals)
• Coordinate sound, UX, and animation requirements
• Integrate gamification systems (missions, achievements, levels, meta-loops) into gameplay
• Analyze playtests, QA feedback, and product KPIs to refine mechanics
• Monitor competitors and contribute to long-term product innovation

Requirements

• 3+ years of Game Design experience in Gambling / iGaming
• Strong experience designing Slots, Crash, or Fast Games
• Deep understanding of RTP, volatility, and probability logic
• Experience writing detailed GDD documentation
• Strong product mindset and system-level thinking
• Experience working cross-functionally with art, math, dev, QA
• Understanding of retention mechanics and meta-systems
• English — Intermediate or higher

Would Be a Plus

• Experience launching games to production
• LiveOps or event-driven mechanics experience
• Strong understanding of gambling player psychology
• Experience analyzing post-launch KPIs

What We Offer

• Direct influence on product economics and player experience
• Real ownership of game mathematics and long-term performance
• Competitive compensation
• Professional growth inside a product-driven gambling studio
• Flexible working format
• Strong, collaborative team environment

Position Overview

As a Game Mathematician, you will own the mathematical design of our gaming systems — from core probability models to long-term behavioral dynamics of the game.

You will shape RTP, volatility curves, hit frequency, payout distributions, risk balance, and overall economic sustainability of each title.

This role requires deep theoretical knowledge, practical simulation skills, and the ability to collaborate closely with producers, designers, engineers, and compliance teams.

Responsibilities

• Develop and maintain detailed mathematical models for Slots, Crash Games, and Fast Games.

• Design and balance RTP, volatility, hit frequency, paytables, game curves.

• Model stochastic processes and RNG logic, ensuring correctness and predictability.

• Calculate probabilities and payout distributions across long-run simulations.

• Conduct large-scale simulations and statistical analysis of game behavior.

• Balance risk, retention, and economic KPIs of the product.

• Collaborate with producers to create optimal player experience.

• Work closely with engineers to validate correct technical implementation.

• Contribute to game logic design and innovative mechanics.

• Conduct competitive analysis of game mathematics and market trends.

• Participate in playtests and analyze real in-game behavior post-launch.

• Prepare complete mathematical documentation for certification and regulators.

Requirements

• Strong knowledge of probability theory, combinatorics, and mathematical statistics.

• Experience in slot or gambling game mathematics (3+ years).

• Practical experience designing and balancing RTP, volatility, and payout structures.

• Experience with stochastic modeling and simulations.

• Programming skills (Python, R, C++, MATLAB, or similar).

• Ability to clearly communicate mathematical decisions to cross-functional teams.

• English — Intermediate or higher.

Would Be a Plus

• Experience with crash or fast game mechanics.

• Experience with competitive math research.

• Understanding of player behavior and retention impact.

• Experience interacting with certification bodies and regulators.

What We Offer

• Direct influence on product economics and player experience.

• Real ownership of game mathematics and long-term performance.

• Competitive compensation.

• Professional growth inside a product-driven gambling studio.

• Flexible working format.

• Strong, collaborative team environment.